Skip to main content

Data Profile Viewer tool. Enables the exploration of data profile in Jupyter Notebooks

Project description

DataProfileViewer

Data profile viewer is compatible with Jupyter Notebooks. Supports the metadata format generated by datamart-profiler library.

System screen

Install via pip

pip install data-profile-viewer
pip install datamart-profiler

Demo

In Jupyter Notebook:

import DataProfileViewer
data = DataProfileViewer.get_lifeexpectancy_data()
DataProfileViewer.plot_data_summary(data)

Data Profile Exploration

import DataProfileViewer
import datamart_profiler

In a jupyter notebook, load the data

metadata = datamart_profiler.process_dataset('lifeexpectancydata.csv', include_sample=True, plots=True)

and then plot it using:

DataProfileViewer.plot_data_summary(metadata)

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

data-profile-viewer-0.2.1.tar.gz (1.5 MB view details)

Uploaded Source

Built Distribution

data_profile_viewer-0.2.1-py3-none-any.whl (1.5 MB view details)

Uploaded Python 3

File details

Details for the file data-profile-viewer-0.2.1.tar.gz.

File metadata

  • Download URL: data-profile-viewer-0.2.1.tar.gz
  • Upload date:
  • Size: 1.5 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/41.4.0 requests-toolbelt/0.8.0 tqdm/4.36.1 CPython/3.7.4

File hashes

Hashes for data-profile-viewer-0.2.1.tar.gz
Algorithm Hash digest
SHA256 89e5a6262c2986c8c283d2fd0441e7fa2dc1683dbbca957b92d7e327c7975863
MD5 4d249d46307ce377b4d51a852487bd98
BLAKE2b-256 6bba689a44ec30a8e9f0ca04a57f15780aa9c444231a2a04a8d1e80a39b4e846

See more details on using hashes here.

File details

Details for the file data_profile_viewer-0.2.1-py3-none-any.whl.

File metadata

  • Download URL: data_profile_viewer-0.2.1-py3-none-any.whl
  • Upload date:
  • Size: 1.5 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/41.4.0 requests-toolbelt/0.8.0 tqdm/4.36.1 CPython/3.7.4

File hashes

Hashes for data_profile_viewer-0.2.1-py3-none-any.whl
Algorithm Hash digest
SHA256 32273cdfde05ac8652e4676a7f73328bc341c422f322832b22ded0805c8ce8e3
MD5 395c5d1280d8c07a8b16e6f9e6825391
BLAKE2b-256 dfa277d8f11294871250438e4d2addccaed90b68a70ca47cc56e20a0e0d3cf06

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page